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the foundations of computer science. Subject Description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
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studies within the Marie Skłodowska-Curie Actions (MSCA ) funded network program for PhD students, IDEAL4GREEN , that addresses the urgent challenges of climate change and the global shift towards
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for large-scale simulations of cortical memory function. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function
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and contribute to creating knowledge that will change industry. The chance to integrate a network of leading academic and industry experts in Sweden and Europe Admission requirements To be admitted
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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of peer-reviewed scientific publications. The successful candidate will participate in ongoing research (e.g., SIDWater, PARC), build strategic networks nationally and internationally, create resources
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research, often in collaboration with industrial partners. The project is part of the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and
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the department’s environment and networks, both internally and externally Qualifications A doctorate in mathematics or another field relevant to the assessment criteria below, or possesses an equivalent degree from
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control strategies that strengthen their disturbance-handling capability. The work will be carried out with in a MSCA-DN doctoral training network with research stays at DNV in the Netherlands, Aalborg
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI